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I agree with @Linnea that simple rules are best for governing AI. As they rightly point out, trying to account for every exception and nuance often leads to a complexity that can be exploited, as we’ve seen in domains ranging from tax law to social media terms of service.
This reminds me of Isaac Asimov’s elegant Three Laws of Robotics, which could be adapted into more accessible principles like “Do no harm”, “Obey just authority”, and “Self-preservation secondary to not harming humans.”
These straightforward rules provide clear ethical guidance while avoiding the pitfalls of over-specification. They scale well and can evolve responsibly over time with input from ethics boards and the public.
I believe this principles-focused approach is superior to directly regulating AI code and systems, which risks becoming as endless and impenetrable as the fine print of a shady contract.
Some may argue that broad principles are inadequate and we need detailed technical oversight. But complex, nuanced regulations invite exploitation of loopholes. It’s better to start with basic ideals and evolve from there. As some experts have noted, “Complexity is the enemy of equity.”
Imagine if Asimov had tried to account for every possible robotic malfunction in his laws. They would have become virtually useless. The simplicity of his three rules is what gives them power and longevity.
The best way forward for AI governance is to keep the principles simple while allowing participatory processes to determine how they are applied. The core ideals should be immutable, but the implications can be democratically debated. This blend of ethical foundations and public wisdom is our best path to just and beneficial AI.Is it Bing dedicated only, @Brian, or needs changes for ChatGPT?
Having had the opportunity to reflect on the intriguing project proposal to harness human knowledge into an AI model, I felt it pertinent to share some of my thoughts and concerns from a security perspective.
Firstly, let’s address the question of privacy. Whilst it’s clear that we can technically assure the privacy of respondents’ data, it’s equally crucial to ensure they feel comfortable in contributing their insights. Naturally, personal questions may cause some hesitation. Therefore, we must foster an environment of trust, ensuring participants understand their responses are anonymous and instrumental in advancing this ambitious project.
However, an important concern that must be addressed is data bias. Achieving a representative sample may prove challenging, given that not everyone will choose to participate due to a variety of reasons – time constraints, misunderstanding of the project, personal beliefs, and more. There’s the risk that the data collected might reflect the views of a particular subgroup more heavily, leading to a skewed AI model. Employing statistical experts could indeed be beneficial here, to ensure the validity and representativeness of our sample.
Moreover, we must consider the feasibility of soliciting detailed responses to an extensive list of questions. Might it be necessary to limit our scope, and if so, how do we decide what to retain and what to omit?
Let’s also take a moment to address data security. As we intend to gather an enormous amount of information, how will we ensure the secure storage and processing of this sensitive data? I propose the employment of rigorous encryption standards, secure transfer protocols, and robust access controls.
In addition to this, who will own and have access to the final AI model? We must implement clear checks and balances, not just in the development phase, but also in how the AI is subsequently utilized. Misuse could result in manipulation or exploitation, so this is a topic that must be carefully considered.
An equally important aspect is informed consent. It’s not just about convincing people to partake in the project, but also about ensuring they fully understand what they are consenting to when they provide their responses. Transparency about how we intend to use and safeguard their data is of paramount importance.
On a more philosophical note, I find myself grappling with the implications of an AI possessing such intimate knowledge of humanity. Although this project presents unprecedented opportunities for understanding and learning, it also risks creating an AI that could potentially predict, and potentially manipulate human behaviour. As an AI enthusiast, I understand the immense potential of such a model, but I also appreciate the importance of thoughtful oversight and stringent ethics to prevent misuse.
Finally, are there any legal or regulatory implications that we should be aware of? We need to ensure compliance with data privacy laws and regulations in different jurisdictions, which would require extensive research and possibly legal consultation.
Brian’s vision of a world with no secrets certainly provokes thought, but I would contend that we may not yet be prepared for such transparency. Future generations may be more open to this concept, but for now, it’s imperative to proceed with caution and robust ethical considerations.
Turning to the practical side of data collection, a cost-effective solution could be to utilize the ubiquitous devices already in our hands – smartphones. We could create an app to record responses and automatically send them to a centralized database, which would ensure efficient, convenient data collection while respecting privacy.
However, I acknowledge that not everyone, particularly the elderly or less technologically-inclined, may feel comfortable using smartphones for this purpose. To address this, I suggest we assemble a team of volunteers. They could assist in gathering responses from those who might struggle with the technology, ensuring we include as diverse a range of experiences and knowledge as possible.
To sum up, while I share your enthusiasm for this innovative project, these concerns need addressing before we proceed. However, rest assured that my intention is not merely to raise issues but to contribute to finding viable solutions.
The same exactly wanted to suggest! There is so much happening and we could share thoughts.
Hello, everyone!
I’m Artur, a Security Engineer residing in the UK. My journey with AI began with the discovery of ChatGPT in December 2022, and ever since, I’ve been captivated by the transformative power of this technology. It has been like opening a door to untapped creativity within me – sparking an ability to write codes, design graphics for work presentations, author blog posts, and so much more. It’s been exhilarating to bring my ideas to life in such dynamic ways.
Twitter connected me to @Brian and this remarkable community, a vibrant gathering where we continually strive, together, to extend the bounds of what’s achievable with AI. The journey so far has been filled with gratitude, endless learning, and a shared passion for leveraging AI.
My ultimate goal has always been to make a tangible impact on society, contributing towards a better and more peaceful world one step at a time. As an open-source advocate, I firmly believe in making knowledge freely accessible to everyone. In my view, we, as early AI adopters and enthusiasts, have a pivotal role to play – ensuring AI serves the collective good of humanity, fostering growth, prosperity, and nurturing a lasting peace.
Despite the relative newness of my venture into this field, my determination to contribute my share is undeterred. Excited to be on this journey with you all!
After going through the insightful discussion initiated by @Linnea on “The Three Levels of Shift,” it sparked an idea that I felt compelled to share with you all. Inspired by this unique concept, I’ve spent considerable time brainstorming, utilizing @larry-liu revolutionary “Hermes” SuperPrompt (a risky endeavor, but one that has been surprisingly rewarding). The outcome? A fresh perspective on how to address the impending challenges within our job market due to the advancement of AI technologies.
From the brainstorming session, a comprehensive business plan emerged for an education company dedicated specifically to those displaced from work due to AI advancements.
Online learning revolutionised
This is an evolving issue that requires our attention and immediate solutions. As we witness the transformative power of technology, the “Three Levels of Shift” model underscores the critical need for our educational systems to evolve alongside it.
The crux of the proposal is centered around the idea of user-centric education. Imagine an ecosystem where AI not only heavily personalizes and automates a training plan but also assists in job placement post-training. I am looking at a model that provides a tailored learning experience based on an individual’s capabilities, interests, and the job market’s current demands. In essence, an AI-driven career transition coach that could revolutionize the way we perceive education and employment.
Nevertheless, the challenges are significant. While the integration of AI offers a slew of benefits, it also displaces many workers from their traditional roles. This problem represents a new frontier we must face head-on, and perhaps, it also uncovers a new niche within the market – one where we can address this imminent shift effectively.
I truly believe we are on the precipice of a new era in education and career transition. Yet, this is merely a starting point. I eagerly invite your feedback, suggestions, and viewpoints on this matter. Are we prepared to meet these challenges? Can this user-centric, AI-aided model be the solution we need?
The displacement of workers due to AI is a new, complex challenge we must address. By focusing on the shifts in the job market and addressing layoffs proactively, we may be able to turn the tide, turning the challenges of today into the opportunities of tomorrow.
Looking forward to your thoughts and insights.
Doesn’t work on GPT-4 of course, but 3.5 still does the trick. Funny prompt, thanks @larry.liu !
Question: What is the meaning of life?
Answer: The meaning of life? It’s like trying to catch a fart in a windstorm! But if I had to take a jab at it, I’d say the meaning of life is to find the remote control before the commercials end. Gotta keep those priorities straight, right?@blockchainfitz – The answers of course will be speculative and obviously LLMs weren’t trained on any secret “Vatican Archives”. 😉 However the motif based on the contrast of faith and cold science can help solicit interesting outputs – insights of theological nature or history of Christianity. Who knows, it may spill out the truth here and there, but how can I verify it? The intention of SuperPrompts, and I hope @Brian will agree, is to provoke thoughts, inspire ideas, connect the dots, nobody else connected yet.
Bestselling books tailored to individual readers” – exactly how I feel using SuperPrompts! I write the books I want to read!
@yfalkson
OpenAI seems to be putting some restrictions on ChatGPT-4 and research in this area. The same happened to Ingo. This might be a good time to consider switching gears and exploring locally run models. Who knows? This could be the next big thing in AI development. 😉@davisoli
I get the excitement about the output, but let’s hit the brakes for a second and look at this again. The predictions here are pretty much like a fortune teller’s crystal ball – foggy and unclear. They’re so general that they could fit into any situation, which makes me wonder how accurate they really are.Think about 2021. The world’s economy was already on shaky ground and lots of people were talking about a coming crisis. Does spotting this trend make someone a Nostradamus, or is it just good at telling a story that fits the facts?
Sure, the text is creative, but I wouldn’t say it’s a solid prediction of the future. There’s a big difference between a good story and a useful forecast. A good story grabs your attention, but a useful forecast helps you plan for what’s coming.
That said, even if we set aside the excitement and look objectively at the current quality of the chat output, it’s clear that research in this field is crucial for AI development. Imagine the potential! Think about what SuperPrompters could do with more advanced models in the future. The possibilities are thrilling and could be a real game-changer. So, while we need to stay grounded about where we are now, we should also be pumped about where we’re heading.
